Avinash S

Hello! My name is Avinash Sharma, and I am a Senior Data Architect with 7 years of experience designing and delivering enterprise-scale data platforms across Investment Banking, Business Insurance, and Personal Insurance domains.

I specialize in building modern cloud-based data solutions using Microsoft Fabric, Snowflake, SQL, Python, PySpark, Azure DevOps, GitHub, GitLab, AWS S3, AWS IAM, AWS Glue, AWS Lambda, Amazon Redshift, Amazon RDS, AWS CloudFormation, CI/CD pipelines, and modern data warehousing platforms. My experience spans data architecture, cloud migration, data integration, data modeling, lakehouse and warehouse design, and scalable analytics solutions.
In my current role, I focus on designing enterprise data architectures, defining data standards, building robust data pipelines, and delivering trusted, analytics-ready data products. I am particularly passionate about Microsoft Fabric, modern data platform architecture, dimensional modeling, lakehouse design, data governance, analytics engineering, and AI-ready data solutions.

I continuously expand my expertise in Microsoft Fabric, AWS cloud services, enterprise data architecture, data modeling, and data engineering best practices. My goal is to help organizations modernize their data ecosystems, establish scalable architecture standards, and unlock greater business value through well-governed, data-driven solutions.

Key Skills: | Snowflake Data Warehouse | SQL | Python | PySpark | Data Vault 2.0 | dbt | dbtvault | AWS S3 | AWS IAM Roles & Policies | AWS Glue | AWS Lambda | AWS Redshift | AWS Athena | AWS Step Functions | EventBridge | CI/CD Pipelines (Liquibase, Jenkins, GitHub Actions, Azure Repos) | Azure DevOps | StreamSets | Teradata | Azure Data Factory | Data Migration | Data Governance | Analytics Engineering | Enterprise Data Platforms | ETL/ELT Design | Cloud Data Solutions Architecture | Microsoft Fabric | Data Architecture | Data Modeling | Lakehouse Architecture | Data Warehousing